plot.SO3: Visualizing random rotations.

In heike/rotations: Tools for working with rotational data

Description

This function produces a three-dimensional globe onto which one of the columns of the provided sample of rotations is drawn. The data are centered around a provided matrix and the user can choose to display this center or not. Based on ggplot2 package by Wickham (2009).

Usage

  plot.SO3(x, center, col = 1, toRange = FALSE,
    show_estimates = NULL, label_points = NULL, ...)

Arguments

x	n rotations in SO3 format
center	point about which to center the observations
col	integer 1 to 3 indicating which column to display
toRange	show only part of the globe that is in range of the data?
show_estimates	character vector to specify which of the four estimates of the principal direction to show. Possibilities are "all", "proj.mean", "proj.median", "riem.mean", "riem.median"
label_points	vector of labels
...	parameters passed onto the points layer

Value

a ggplot2 object with the data displayed on spherical grid

References

Wickham H (2009). _ggplot2: elegant graphics for data analysis_. Springer New York. ISBN 978-0-387-98140-6, <URL: http://had.co.nz/ggplot2/book>.

Examples

r<-rvmises(200,1.0)
Rs<-genR(r)
plot(Rs,center=mean(Rs),show_estimates=NULL,shape=4)
# Z is computed internally and contains information on depth
plot(Rs,center=mean(Rs),show_estimates=c("proj.mean", "riem.mean"), label_points=sample(LETTERS, 200, replace=TRUE)) + aes(size=Z, alpha=Z) + scale_size(limits=c(-1,1), range=c(0.5,2.5))

heike/rotations documentation built on May 17, 2019, 3:24 p.m.